
'''simple docstring'''






def 		A_							(						_lowerCAmelCase :     Optional[int]				):



      """simple docstring"""




      _lowerCamelCase					: int		    = len(_lowerCAmelCase				)
      _lowerCamelCase					: Dict		    = sum(_lowerCAmelCase				)

      _lowerCamelCase					: List[Any]		    = [[False for x in range(s + 1				)] for y in range(n + 1				)]

      for i in range(1					,						n + 1				):
            _lowerCamelCase					: Optional[Any]		    = True

      for i in range(1					,						s + 1				):
            _lowerCamelCase					: Optional[int]		    = False

      for i in range(1					,						n + 1				):
            for j in range(1					,						s + 1				):
                  _lowerCamelCase					: Tuple		    = dp[i][j - 1]

                  if arr[i - 1] <= j:
                        _lowerCamelCase					: Optional[Any]		    = dp[i][j] or dp[i - 1][j - arr[i - 1]]

      for j in range(int(s / 2				)					,						-1					,						-1				):
            if dp[n][j] is True:
                  _lowerCamelCase					: int		    = s - 2 * j
                  break

      return diff




'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase:   List[str]					=		logging.get_logger(__name__)

lowerCAmelCase:   Union[str, Any]					=		{
    'SCUT-DLVCLab/lilt-roberta-en-base': (
        'https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'
    ),
}

class 				a__(   lowerCamelCase__      ):
    lowercase__					=       """lilt"""







    def __init__( self					:    str		,     __snake_case					:    Dict=3_05_22		,     __snake_case					:    int=7_68		,     __snake_case					:    Union[str, Any]=12		,     __snake_case					:    Optional[Any]=12		,     __snake_case					:    Dict=30_72		,     __snake_case					:    Tuple="gelu"		,     __snake_case					:    Dict=0.1		,     __snake_case					:    List[Any]=0.1		,     __snake_case					:    List[str]=5_12		,     __snake_case					:    List[str]=2		,     __snake_case					:    str=0.02		,     __snake_case					:    Dict=1e-1_2		,     __snake_case					:    int=0		,     __snake_case					:    Any="absolute"		,     __snake_case					:    Tuple=None		,     __snake_case					:    Tuple=4		,     __snake_case					:    List[str]=10_24		,     **__snake_case					:    Union[str, Any]		,     ):
      super().__init__(pad_token_id=__snake_case		,     **__snake_case      )

      a		:   str	  =	vocab_size
      a		:   Optional[Any]	  =	hidden_size
      a		:   Union[str, Any]	  =	num_hidden_layers
      a		:   Tuple	  =	num_attention_heads
      a		:   Optional[Any]	  =	hidden_act
      a		:   Union[str, Any]	  =	intermediate_size
      a		:   Optional[Any]	  =	hidden_dropout_prob
      a		:   Tuple	  =	attention_probs_dropout_prob
      a		:   str	  =	max_position_embeddings
      a		:   Any	  =	type_vocab_size
      a		:   Union[str, Any]	  =	initializer_range
      a		:   int	  =	layer_norm_eps
      a		:   Any	  =	position_embedding_type
      a		:   Any	  =	classifier_dropout
      a		:   str	  =	channel_shrink_ratio
      a		:   Optional[Any]	  =	max_ad_position_embeddings